class_docstr: This class implements a model-specific automatic speech recognizer using the end-to-end speech recognizer
  DeepSpeech and PyTorch. It supports both version 2 and version 3 of DeepSpeech models as released at
  https://github.com/SeanNaren/deepspeech.pytorch.
  
  | Paper link: https://arxiv.org/abs/1512.02595
docstr: Get current used device.
  
  :return: Current used device.
docstr_tok: ["Get","current","used","device",".",":","return",":","Current","used","device","."]
code: def device(self) -> "torch.device":
      """
      Get current used device.
  
      :return: Current used device.
      """
      return self._device
  
imports: import logging
  from typing import TYPE_CHECKING, List, Optional, Tuple, Union
  from pkg_resources import packaging
  import numpy
  from art import config
  from art.estimators.pytorch import PyTorchEstimator
  from art.estimators.speech_recognition.speech_recognizer import SpeechRecognizerMixin, PytorchSpeechRecognizerMixin
  from art.utils import get_file
label_desc: Use image node_id 12 for calling the PyTorchDeepSpeech obj's underlying member method code with example usage: obj.device() and returns: self